【作者】 孙方涛；

【导师】 常义林；

【作者基本信息】 西安电子科技大学 ， 信息与通信工程， 2006， 硕士

【摘要】 为了保证网络的正常运行需要对网络进行监测,网络和由网络提供的服务日益复杂对监测的需求也随之增加。使用SNMP中的polling和trap机制是目前一种有效的方法。监测包括网络特性的测量和由测量数据做出的预测。由于监测数据和业务数据通常在同一链路上传输,因此减少与监测有关的数据量有重要的意义。本文研究在IP网络中减少监测通信量的方法。在基于分层分布式网络管理体系结构基础上,提出了几种动态网络监测算法,这些算法在实现指定功能的同时能极大的减少网络管理的开销。算法的核心思想是如何对全局轮询和本地事件报告合理的使用。监控算法减少的通信量与监控数据的统计特性有关。算法的性能分析表明,提出的监测算法有效地减少了轮询次数,降低了管理信息占用的带宽,提高了网络管理的性能。更多还原

【Abstract】 Networks are monitored in order to ensure that the system operates within desirable parameters. The increasing complexity of networks and services provided by them increases this need for monitoring. Monitoring consists of measuring properties of the network, and of inferring an aggregate predicate from these measurements. Conducting such monitoring introduces traffic overhead that may reduce the overall effective throughput.This thesis studies ways to minimize the monitoring communication overhead in IP networks. Based on the hierarchical network architecture, we develop and analyze several monitoring algorithms that achieve significant reduction in the management overhead while maintaining the functionality. The main idea is to combine global polling with local event driven reporting.The amount of traffic saving depends on the statistical characterization of the monitored data. The algorithm analyses show that the proposed monitoring scheme reduces both the number of polling and the cost of the network management; consequently improves the network performance.更多还原